Top Tech Jobs & Startup Jobs in Vancouver

Leads consultative sales of Microsoft AI Workforce solutions across Western Canada. Advises business decision makers, develops ROI cases, drives AI adoption, manages pipelines, and orchestrates end-to-end customer engagements with technical teams, partners, engineering, and customer success. Identifies cross-sell, up-sell, and co-sell opportunities while aligning solutions to business priorities and measurable transformation outcomes.

Build and maintain AI-powered Excel agent features across client and service components. Responsibilities include implementing agentic workflows, contributing to technical designs, developing comprehensive tests, monitoring performance, supporting safe deployments, troubleshooting production issues, and participating in on-call rotations. The role involves collaboration with product, design, applied science, security, and privacy teams while ensuring reliability, security, privacy, accessibility, and responsible AI compliance.

Lead Surface device and accessories sales for enterprise accounts across Canada. Develop customer growth strategies, manage complex sales and consumption pipelines, forecast opportunities, build senior-level relationships, and drive high-value technology sales. Orchestrate Microsoft, partner, OEM, reseller, and distributor teams throughout the sales lifecycle while aligning Windows, Surface, Microsoft 365, AI, and cloud solutions to customer priorities.

Leads the design, development, testing, debugging, and operation of scalable distributed systems for Fabric data mirroring. Responsibilities include architecture, coding, code reviews, dependency management, telemetry and root-cause analysis, automated testing, reliability, security, performance optimization, and collaboration with technical and project stakeholders.

Conduct research on AI systems and infrastructure, developing algorithms and frameworks to improve performance, scalability, efficiency, reliability, and automation. Collaborate with engineering, data science, product, academic, and industry teams; publish and present research; and mentor researchers and engineers. The role focuses on foundation models, post-training, agent systems, ML systems, distributed systems, AI accelerators, and autonomous infrastructure management.

Design, build, and operate core components of Azure HorizonDB, a cloud-native PostgreSQL-compatible database service. Responsibilities include developing high-availability distributed storage, resiliency and recovery systems, automation pipelines, data migration tools, and performance improvements. The role involves on-call incident response, troubleshooting, cross-team technical collaboration, and applying AI-assisted engineering practices to improve software quality and operational excellence.

Build and maintain AI-powered agentic features for Excel across client and service components. Responsibilities include software development, technical design, testing, AI evaluation, deployment automation, monitoring, telemetry, production support, incident response, and reliability improvements. Collaborate with Product, Design, Applied Science, security, and privacy teams to deliver secure, scalable, accessible, and reliable customer experiences.

Design, develop, test, optimize, and maintain foundational real-time video platform technologies. Diagnose complex camera, device, hardware, operating system, and media pipeline issues; improve performance, reliability, security, and efficiency. Collaborate across teams on architecture and technical projects, use telemetry and experimentation to analyze production behavior, participate in on-call incident response, and contribute through code reviews, documentation, mentoring, and engineering best practices.

Serve as a pre-sales Solution Engineer supporting pipeline advancement through discovery, solution design, technical demonstrations, workshops, hackathons, and customer proposals. Partner with sales, engineering, partners, and customer success to address technical requirements, showcase AI and Power Platform capabilities, handle objections, and secure solution endorsement. Develop trusted-advisor relationships with technical and business decision-makers while aligning deployment, adoption, consumption, and KPI plans.

Leads technical pre-sales engagements for Microsoft Dynamics 365 CRM and AI solutions. Owns technical win strategies, conducts executive workshops and demonstrations, leads proofs of concept, develops migration and technical close plans, addresses compliance and security concerns, and supports competitive displacement. Collaborates with account teams, systems integrators, partners, engineering, and customer success teams to accelerate enterprise sales, adoption, and deployment outcomes.